Anthropic just dropped a guide on “effective context engineering,” and the headline point is this: “Stop cramming everything into your AI prompts.” It is an excellent guide for those who want to build their own agents.
The big idea
Context (i.e., what you share with the AI) is like your AI’s working memory, and it has an attention budget. Stuff too much information in there, and it loses focus (just like us during 3:00 p.m. meetings @__@).
Here’s what actually matters when building AI workflows.
- Write prompts at the “right altitude.” Not too rigid (“if user says X, do Y”), not too vague (“be helpful”). Find the Goldilocks zone that gives clear guidance without micromanaging.
- Keep your toolset minimal. If you can’t tell which tool an AI should use in a situation, neither can it. Clarity beats coverage.
- Use diverse examples, not exhaustive lists. Show the AI 3-5 great examples of what you want instead of listing every possible edge case.
Interestingly, Anthropic’s Claude Code doesn’t pre-load entire codebases into context; instead, it uses tools to pull files “just in time.” For instance, you don’t memorize the entire contents in your filing cabinet, you just remember where things are.
TL;DR
Treat context like a precious resource. Less is often more. We break down Anthropic’s advice about context engineering in this deeper dive. Check it out!
Editor’s note: This content originally ran in the newsletter of our sister publication, The Neuron. To read more from The Neuron, sign up for its newsletter here.